41:59

PID control of inverted pendulum

02:49

Bzzz in altitude hold mode

00:08

Bzzz's first flight

45:51

Complete example: modelling to simulations

24:36

BIBO stability: poles of transfer function

22:48

BIBO stability: an introduction

12:26

Inverse Laplace Transform - Special Cases

08:06

Inverse Laplace Transform - Solving IVPs

10:04

Inverse Laplace Transform - Convolution Theorem

32:32

Video Lecture - Inverse Laplace Transform: a few examples

09:15

Video Lecture 1 - State space representation

41:54

Video Lecture 18 - Transfer Functions

19:31

First-order systems: Impulse, Step and Frequency Response

25:24

Steady State Frequency Response of BIBO stable systems

34:29

Video Lecture 5 - Inverted pendulum dynamics

31:18

Video Lecture 16 - Asymptotic Theorems

24:50

Video Lecture 15 - Existence of Laplace Transform

11:35

Video Lecture 14 - Laplace transform of periodic functions

20:35

Video Lecture 13 - Further properties of the Laplace transform

24:12

Video Lecture 12 - Laplace Transforms of Functions defined Piecewise

33:40

Video Lecture 10 - Linearisation in multiple variables

06:38

Inverse Laplace Transform - Complex Conjugate Poles

04:09

Inverse Laplace Transform - Multiple Real Poles

06:09

Inverse Laplace Transform - Distinct Real Poles

05:22

Inverse Laplace Transform - Introduction

20:51

Video Lecture 9 - Linearisation of dynamical systems

19:42

Video Lecture 8 - Taylor's approximation Theorem

35:53

Video Lecture 7 - Mass Balance Equations

16:11

Video Lecture 6 - Circuits

22:44

Linearisation theorem

56:22

Lyapunov Stability Theorems

42:13

Introduction to Optimisation #3

01:03:55

Introduction to Optimisation #2

39:46

Introduction to Optimisation #1

36:29

Linear Algebra Crash Course #6

35:02

Linear Algebra Crash Course #5

44:53

Linear Algebra Crash Course #4

39:06

Linear Algebra Crash Course #3

34:48

Linear Algebra Crash Course #2

01:09:59

Linear Algebra Crash Course #1

13:31

Kalman Filter - MAP Estimation Interpretation

08:48

MAP Estimation

07:59

Maximum Likelihood Estimation

12:07

The Kalman Filter is BLUE

08:16

Kalman Filter: Position Estimation

16:57

What is the Kalman Filter really all about?

07:58

No Estimator is Better than a Minimum Variance Estimation

15:29

Do you have COVID? Here's what Baye's Theorem tells us...

11:12

Conditioning of Continuous Random Variables

16:19

Conditioning: possibly the Most Important Concept in Estimation Theory

10:05

Multivariate Random Variables

20:42

Probability density, expectation and variance

36:28

This is what no-one ever told you about probability

00:46

How to solve differential equations

14:01

OptimizationEngine (OpEn): Code generation for embedded nonconvex optimization